尝试使用 pandas 文件 CSV 文件时出现错误读数

Question

My csv file looks like the following:

As you see there are 7 columns with comma separated. I have spent hours to read and plot the first column starting with 31364 with the following code:

import matplotlib.pyplot as plt
import pandas as pd


df = pd.read_csv('test.csv', sep=',', header=None, names=['colA','colB','colC','colD','colE','colF','colG'])
y = df['colA']
plt.plot(y)

But the code outputs this plot which does not match the data at all:

I'm using Spyder with Anaconda. What could be the problem?

Answer 1

Is column A all values in the 31,000 range? You're not plotting the whole file.

edit: Don't know what result you're looking for. In your code, the first column in your csv is used as the index to the dataframe (after you read the csv, enter 'df', no quotes, at the python prompt to see what your dataset looks like. If you don't want the first column in the csv as an index, add 'index_col=False', no quotes, to the parameters when you read the csv in. Also, not a good idea to end lines in a csv wit the delimiter, comma in this case.